Author(s)

Haomeng Qian, Baochen Huo, Jiahang Wu

Corresponding Author

Haomeng Qian

Abstract

In the current context of global economic integration and rapid technological development, the enhancement of new quality productivity is seen as a key factor driving regional economic growth. Based on the formula of the new quality productivity theory, this paper constructs a comprehensive evaluation system that includes six Primary indicators: science and technology, Factors of Production, Estate, labor force, objects of labor, and tools of labor. Corresponding to these Primary indicators, the paper further subdivides 26 second-level indicators, which can fully reflect the level of new quality productivity in a region. The TOPSIS method is applied to rank and evaluate the new quality productivity of all provinces across the country. By calculating the scores of each province's indicators, the relative position of each province in terms of new quality productivity is clarified. Through K-means cluster analysis, the distribution of new quality productivity in different provinces over the years is further explored, effectively classifying all provinces nationwide. The Pearson correlation coefficient method is used to analyze the relationship between each Primary indicator and new quality productivity, in order to identify the key factors affecting productivity.

Keywords

New quality productivity theory, TOPSIS, K-means, Pearson